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license: apache-2.0
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This model is based on the multilingual version of BERT, specifically google-bert/bert-base-multilingual-cased, and has been fine-tuned to classify negative emotions in Spanish tweets. 

The fine-tuning was performed using a labeled corpus available from the IPN CIC repository https://www.cic.ipn.mx/~sidorov/corpus_marcado6emociones.txt, which contains Spanish tweets annotated with six emotions. 

For this model, only the four negative emotions defined by Ekman were used:

0 → Anger

1 → Disgust

2 → Fear

3 → Sadness

The model is designed to support tasks in emotion detection and sentiment analysis in Spanish. An example of how to use the model is available at:

https://colab.research.google.com/drive/1FBvOoaWt2xh405iyH3zhOnUpdPxr46GR?usp=sharing